Dan F. M. Goodman

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 10

Top Topics

Constraint Relaxation

Top Venues

Frontiers Neuroinformatics

IEEE Trans. Vis. Comput. Graph.

Publications

Karim Habashy, Benjamin D. Evans, Dan F. M. Goodman, Jeffrey S. Bowers
Adapting to time: why nature evolved a diverse set of neurons. CoRR (2024)
Nicolas Perez Nieves, Dan F. M. Goodman
Spiking Network Initialisation and Firing Rate Collapse. CoRR (2023)
Nicolas Perez Nieves, Dan F. M. Goodman
Sparse Spiking Gradient Descent. CoRR (2021)
Nicolas Perez Nieves, Dan F. M. Goodman
Sparse Spiking Gradient Descent. NeurIPS (2021)
Jonathan X. Zheng, Samraat Pawar, Dan F. M. Goodman
Further Towards Unambiguous Edge Bundling: Investigating Power-Confluent Drawings for Network Visualization. IEEE Trans. Vis. Comput. Graph. 27 (3) (2021)
Gabriel Béna, Dan F. M. Goodman
Extreme sparsity gives rise to functional specialization. CoRR (2021)
Jonathan X. Zheng, Samraat Pawar, Dan F. M. Goodman
Graph Drawing by Stochastic Gradient Descent. IEEE Trans. Vis. Comput. Graph. 25 (9) (2019)
Jonathan X. Zheng, Samraat Pawar, Dan F. M. Goodman
Comments on "Towards Unambiguous Edge Bundling: Investigating Confluent Drawings for Network Visualization". CoRR (2018)
Inga Blundell, Romain Brette, Thomas A. Cleland, Thomas G. Close, Daniel Coca, Andrew P. Davison, Sandra Diaz-Pier, Carlos Fernandez Musoles, Padraig Gleeson, Dan F. M. Goodman, Michael L. Hines, Michael W. Hopkins, Pramod S. Kumbhar, David R. Lester, Bóris Marin, Abigail Morrison, Eric Müller, Thomas Nowotny, Alexander Peyser, Dimitri Plotnikov, Paul Richmond, Andrew Rowley, Bernhard Rumpe, Marcel Stimberg, Alan B. Stokes, Adam R. Tomkins, Guido Trensch, Michael Marmaduke Woodman, Jochen Martin Eppler
Code Generation in Computational Neuroscience: A Review of Tools and Techniques. Frontiers Neuroinformatics 12 (2018)
Jonathan X. Zheng, Dan F. M. Goodman, Samraat Pawar
Graph Drawing by Weighted Constraint Relaxation. CoRR (2017)
Marcel Stimberg, Dan F. M. Goodman, Victor Benichoux, Romain Brette
Equation-oriented specification of neural models for simulations. Frontiers Neuroinformatics 8 (2014)
Shabnam N. Kadir, Dan F. M. Goodman, Kenneth D. Harris
High-Dimensional Cluster Analysis with the Masked EM Algorithm. Neural Comput. 26 (11) (2014)
Dan F. M. Goodman, Romain Brette
Brian simulator. Scholarpedia 8 (1) (2013)
Shabnam N. Kadir, Dan F. M. Goodman, Kenneth D. Harris
High-dimensional cluster analysis with the Masked EM Algorithm. CoRR (2013)
Cyrille Rossant, Bertrand Fontaine, Dan F. M. Goodman
Playdoh: A lightweight Python library for distributed computing and optimisation. J. Comput. Sci. 4 (5) (2013)
Romain Brette, Dan F. M. Goodman
Vectorized Algorithms for Spiking Neural Network Simulation. Neural Comput. 23 (6) (2011)
Bertrand Fontaine, Dan F. M. Goodman, Victor Benichoux, Romain Brette
Brian Hears: Online Auditory Processing Using Vectorization Over Channels. Frontiers Neuroinformatics 5 (2011)
Cyrille Rossant, Dan F. M. Goodman, Jonathan Platkiewicz, Romain Brette
Automatic fitting of spiking neuron models to electrophysiological recordings. Frontiers Neuroinformatics 4 (2010)
Dan F. M. Goodman, Romain Brette
Spike-Timing-Based Computation in Sound Localization. PLoS Comput. Biol. 6 (11) (2010)
Dan F. M. Goodman, Romain Brette
Learning to localise sounds with spiking neural networks. NIPS (2010)
Dan F. M. Goodman
Code Generation: A Strategy for Neural Network Simulators. Neuroinformatics 8 (3) (2010)
Dan F. M. Goodman, Romain Brette
Brian: a simulator for spiking neural networks in Python. Frontiers Neuroinformatics 2 (2008)